deepdetect vgg16 finetune (before simsearch with finetuned weights)

script.sh

#!/bin/bash
#change base_lr
curl -X DELETE "http://localhost:8080/services/tag_detect_vgg16?clear=all"

sleep 1
docker stop dd_tags
docker rm dd_tags

chmod -R 777 models
nvidia-docker  run --name dd_tags -d -p 8080:8080 -v "`pwd`":/tags_dataset jolibrain/deepdetect_gpu


rm models/vgg16/*txt models/vgg16/*json models/vgg16/model* models/vgg16/*proto*
rm -rf models/vgg16/*lmdb
sleep 1

curl -X PUT "http://localhost:8080/services/tag_detect_vgg16" -d '{
  "mllib": "caffe",
  "description": "tag detector vgg16",
  "type": "supervised",
  "parameters": {
    "input": {
      "connector": "image",
       "width":224,
       "height":224
    },
    "mllib": {
      "finetuning": true,
       "nclasses":3,
      "weights": "/tags_dataset/models/vgg16/VGG_ILSVRC_16_layers.caffemodel",
      "template": "vgg_16",

      "finetuning":true
    }
  },
  "model": {
    "templates": "../templates/caffe/",
    "repository": "/tags_dataset/models/vgg16",
    "create_repository": true
  }
}'


sleep 2

curl -X POST "http://localhost:8080/train" -d '{
    "service": "tag_detect_vgg16",
    "async": true,
    "parameters": {
	"input": {
	    "shuffle": true,
	    "db": true,
           "connector": "image",
           "test_split":0.1,
           "shuffle":true,
           "width":224,
           "height":224
	},
	"mllib": {
	    "gpu": true,
	    "resume": false,
	    "net": {
		"batch_size": 32
	    },
	    "solver": {
		"iterations": 80000,
		"test_interval": 500,
		"snapshot": 1000,
		"solver_type": "RMSPROP",
		"base_lr": 0.001
	    },
	    "noise":{"all_effects":true, "prob":0.001},
	    "distort":{"all_effects":true, "prob":0.01},
	    "bbox": true
	},
         "output": {
          "measure": [
           "map", "map_1", "map_2", "map_3"
          ]
         }
    },
    "data": [
	"/tags_dataset/train.txt",
	"/tags_dataset/test.txt"
    ]
}'